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Record W4242936199 · doi:10.1111/hequ.12175

Issue Information

2019· paratext· en· W4242936199 on OpenAlexaboutno aff

Bibliographic record

VenueHigher Education Quarterly · 2019
Typeparatext
Languageen
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCitationComputer scienceCorporate governanceHigher educationLibrary sciencePolitical scienceWorld Wide WebPublic relationsManagementLawEconomics

Abstract

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Where the subscrip on price includes print issues and delivery is to the recipient's address, delivery terms are Delivered at Place (DAP); the recipient is responsible for paying any import duty or taxes.Title to all issues transfers FOB our shipping point, freight prepaid.We will endeavour to fulfi l claims for missing or damaged copies within six months of publica on, within our reasonable discre on and subject to availability. Informa on for subscribersHigher Educa on Quarterly is published in four issues per year.Subscrip on prices for 2019 are: £639 (UK), €809 (Europe), $1292 (US, Canada & Mexico), $1504 (Rest of World).Prices are exclusive of tax.Asia-Pacifi c GST, Canadian GST/HST and European VAT will be applied at the appropriate rates.For more informa on on current tax rates, please go to www.wileyonlinelibrary.com/tax-vat.The price includes online access to the current and all online backfi les to January 1 st 2015, where available.For other pricing op ons, including access informa on and terms and condi ons, please visit www.wileyonlinelibrary.com/access.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.116
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0020.000
Scholarly communication0.0080.005
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8840.886

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.360
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2019
Admission routes1
Has abstractyes

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